Evidence map›Paper›PMID 30082621›Full record

ArticleInternational journal of environmental research and public health2018

Assessing Effect Modification of Excess Winter Death by Causes of Death and Individual Characteristics in Zhejiang Province, China: A Multi-Community Case-Only Analysis.

Yiling He, Xuehai Zhang, Meng Ren, Junzhe Bao, Cunrui Huang, Shakoor Hajat, Adrian G Barnett

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 38% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 3 countries.

Yiling HeSchool of Public Health, Sun Yat-sen University, Guangzhou 510080, China. heyling@mail2.sysu.edu.cn.ORCID 0000-0003-4243-191X
Xuehai ZhangZhejiang Provincial Center for Disease Control and Prevention, Hangzhou 31004, China. xhzhang@cdc.zj.cn.
Meng RenSchool of Public Health, Sun Yat-sen University, Guangzhou 510080, China. melodyrren@163.com.
Junzhe BaoSchool of Public Health, Sun Yat-sen University, Guangzhou 510080, China. junzhe_bao@126.com.
Cunrui HuangSchool of Public Health, Sun Yat-sen University, Guangzhou 510080, China. huangcr@mail.sysu.edu.cn.
Shakoor HajatDepartment of Social & Environmental Health Research, London School of Hygiene & Tropical Medicine, London, UK. Shakoor.hajat@lshtm.ac.uk.ORCID 0000-0002-3086-362X
Adrian G BarnettSchool of Public Health and Institute of Health and Biomedical Innovation, Queensland University of Technology, Queensland 4059, Australia. a.barnett@qut.edu.au.ORCID 0000-0001-6339-0374
Sun Yat-sen University · CNLondon School of Hygiene & Tropical Medicine · GBQueensland University of Technology · AUZhejiang Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mortality in many parts of the world has a seasonal pattern, with a marked excess of deaths during winter. To date, however, there is very little published evidence on the nature of this wintertime excess in low- and middle-income countries. In this study, we aimed to quantify the extent of the death peak in winter and to assess effect modification on excess winter death (EWD) by individual characteristics and cause of deaths in China. We used a Cosinor model to examine seasonal patterns for specific causes of deaths and a case-only analysis of deaths in winter compared with other seasons to assess effect modification by individual characteristics. A total of 398,529 deaths were investigated between January 2010 and December 2013 in Zhejiang Province, China. Deaths peaked in winter, and overall mortality was around 30% higher in winter than in summer. Although diseases of the respiratory and circulatory systems were highly seasonal, surprisingly we observed that deaths from mental and behavioral disorders exhibited greater fluctuation. Males, the elderly and illiterate individuals suffered high EWD. EWDs were also particularly common in emergency rooms, at home, on the way to hospitals, and in nursing homes/family wards. This study highlighted the high EWD in some previously unreported groups, indicating new information to facilitate the targeting of necessary preventive measures to those at greatest risk in order to mitigate wintertime death burdens.

Indexed as

MortalitySocioeconomic FactorsAdolescentAdultAgedAged, 80 and overCause of DeathChildChild, PreschoolChinaFemaleHumansInfantInfant, NewbornMaleMiddle Agedcase-only analysisCosinor modelindividual characteristicmodify effectwinter mortality

Identifiers

PMID30082621
PMCPMC6121352
OpenAlexW2887639913

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.